Role of Computed Tomography in Measuring Peritumoral Fat Tissue for Preoperative Staging in Patients with Gastric Cancer

Author:

Ozcan Seray Gizem Gur1,Erkan Merve1,Ozyildirim Serra1,Bilir Burak1,Firat Yurdakul Deniz1

Affiliation:

1. Bursa Yuksek Ihtisas Egitim Ve Arastirma Hastanesi

Abstract

Abstract

Background In patients with gastric cancer, staging is conducted using computed tomography during diagnosis. Distinguishing between early-stage and locally advanced tumors is particularly crucial for guiding the patient's treatment. Accurate staging with computed tomography depends on various factors, with the area of peritumoral fat tissue being the most significant, ensuring a precise understanding of serosal involvement. The aim of this study was to investigate the role of peritumoral fat tissue in the accurate staging of patients with local and locally advanced gastric cancer undergoing surgery. Methods A retrospective analysis was conducted on 165 patients who underwent gastric cancer surgery between 2017 and 2023. The patients’ demographic data, pathology results, tumor-lymph node-metastasis stages, and postoperative complications were examined. Utilizing the computed tomography scans taken during diagnosis, peritumoral fat tissue was measured in cm2. Results The mean value for peritumoral fat tissue was found to be 12.9 cm2. According to the receiver operating characteristic curve analysis, there was a significant correlation between the computed tomography staging and pathologic results of the patients with peritumoral fat tissue equal to or larger than 9.5 cm2, with a sensitivity of 87% and a specificity of 92% according to the Youden index (area under the curve: 0.923, p < 0.001). Conclusion This study has revealed that computed tomography can be used reliably in preoperative staging for patients with a peritumoral fat tissue area equal to or larger than 9.5 cm2.

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3